Editorial board
Scientific leadership of Machine Learning: Engineering is provided by the Editor-in-Chief and will be supported by an Editorial Board with broad scientific and geographical distribution.
Machine Learning: Engineering is currently making appointments to the Editorial Board and this page will be updated accordingly in due course. Through the process of Board Member appointment we strive for scientific, gender, geographic, and ethnic diversity, and welcome nominations from the community. For further information please contact our Publishing team: mleng@ioppublishing.org
Editor-in-Chief
Jay Lee, University of Maryland, USA
Dr. Jay Lee is Clark Distinguished Professor and Director of Industrial AI Center in the Mechanical Engineering Dept. of the Univ. of Maryland College Park. Previously, he served as an Ohio Eminent Scholar, L.W. Scott Alter Chair and Univ. Distinguished Professor at Univ. of Cincinnati. He was Founding Director of National Science Foundation (NSF) Industry/University Cooperative Research Center (I/UCRC) on Intelligent Maintenance Systems during 2001-2019. IMS Center has developed research memberships with over 100 global company since 2000 and was selected as the most economically impactful I/UCRC in the NSF Economic Impact Study Report in 2012. He is also the Founding Director of Industrial AI Center. He mentored his students and developed a number of start-up companies including Predictronics through NSF iCorp in 2013 and has won 1st Place for PHM Society Data Challenges competition 5 times.
Executive Editorial Board
Wei Chen, Northwestern University, USA
Design under uncertainty, AI and machine learning for engineering design, digital twins, design of materials systems.
Wai Yee Yeong, Nanyang Technological University, Singapore
3D printing, bioprinting, machine learning for 3D printing, tissue engineering.
Byeng Dong Youn, Seoul National University, Republic of Korea
Industrial artificial intelligence.
Huu-Tai Thai, The University of Melbourne, Australia
Steel, concrete, and composite structures.
Fei Tao, Beihang University, China
Digital twins, digital engineering, smart manufacturing, artificial intelligence.
Ming Lin, The University of Maryland, USA
AI/ML, robotics, computer graphics, VR.
Satyandra Gupta, The University of Southern California, USA
Human-centered automation, physics-informed artificial intelligence, decision support systems, computer-aided design, robotics, and smart manufacturing.
Editorial Board
Olga Fink, ETH Zurich, Switzerland
Deep learning and decision support algorithms for intelligent fault detection, diagnostics and prognostics of complex industrial assets, data-driven condition-based and predictive maintenance.
Benji Maruyama, Air Force Research Laboratory, USA
Materials science, autonomous experimentation, nanotechnology.
Faez Ahmed, MIT, USA
Engineering design, artificial intelligence
Xiaoge Zhang, The Hong Kong Polytechnic University, China
Artificial intelligence, risk and reliability, data science, uncertainty quantification.
Pinar Acar, Virginia Tech, USA
Multi-scale materials modeling, materials design, materials informatics.
Neeraj Rai, Mississippi State University, USA
Catalysis, optoelectronics, statistical mechanics, soft matter, data science & machine learning.
Liang Xuan , Nanyang Technological University, Singapore
Intelligent manufacturing, artificial intelligence, design optimization, computational mechanics, additive manufacturing.
Haizhao Yang, The University of Maryland, USA
Scientific machine learning, deep learning, machine learning theory, statistical machine learning, symbolic machine learning.
Swee Leong Sing, National University of Singapore, Singapore
Additive manufacturing, 3D printing, 3D bioprinting, artificial intelligence, machine learning.